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Replica Exchange Molecular Dynamics: A Practical Application Protocol with Solutions to Common Problems and a Peptide Aggregation and Self-Assembly Example

机译:副本交换分子动力学:具有常见问题解决方案和肽聚集和自组装示例的实用应用程序协议

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摘要

Protein aggregation is associated with many human diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and type II diabetes (T2D). Understanding the molecular mechanism of protein aggregation is essential for therapy development. Molecular dynamics (MD) simulations have been shown as powerful tools to study protein aggregation. However, conventional MD simulations can hardly sample the whole conformational space of complex protein systems within acceptable simulation time as it can be easily trapped in local minimum-energy states. Many enhanced sampling methods have been developed. Among these, the replica exchange molecular dynamics (REMD) method has gained great popularity. By combining MD simulation with the Monte Carlo algorithm, the REMD method is capable of overcoming high energy-barriers easily and of sampling sufficiently the conformational space of proteins. In this chapter, we present a brief introduction to REMD method and a practical application protocol with a case study of the dimerization of the 11–25 fragment of human islet amyloid polypeptide (hIAPP(11–25)), using the GROMACS software. We also provide solutions to problems that are often encountered in practical use, and provide some useful scripts/commands from our research that can be easily adapted to other systems.
机译:蛋白质聚集与许多人类疾病有关,例如阿尔茨海默氏病(AD),帕金森氏病(PD)和II型糖尿病(T2D)。了解蛋白质聚集的分子机制对于治疗的发展至关重要。分子动力学(MD)模拟已被证明是研究蛋白质聚集的强大工具。但是,常规的MD模拟很难在可接受的模拟时间内对复杂蛋白质系统的整个构象空间进行采样,因为它很容易陷入局部最低能量状态。已经开发了许多增强的采样方法。其中,副本交换分子动力学(REMD)方法获得了极大的欢迎。通过将MD模拟与蒙特卡洛算法相结合,REMD方法能够轻松克服高能垒,并能够充分采样蛋白质的构象空间。在本章中,我们将使用GROMACS软件简要介绍REMD方法和实际应用协议,并以人类胰岛淀粉样多肽(hIAPP(11-25))11-25片段二聚化为例进行研究。我们还为实际使用中经常遇到的问题提供了解决方案,并提供了一些有用的脚本/命令,这些脚本/命令来自我们的研究,可以轻松地应用于其他系统。

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